RAY KENT is Senior Lecturer in Marketing at University of Stirling. He has previously published textbooks on marketing and social research.

'I would certainly adopt this book as a primer for some social science research methods courses at undergraduate level and at masters level. The layout is good and I enjoyed reading it, especially the earlier sections.' - Dr Stephen Gorard, Cardiff University 'This is a splendid book...the text bridges the gap between rather general research methods books and sophisticated and advanced texts on data analysis/survey design. This is an enormous strength.' - Malcolm Williams, University of Plymouth '...this is a very comprehensive and well-written text which fulfils its stated objective of providing an introductory guide to statistical analysis.' - Dr Angus Laing, Aberdeen University 'A good well written text that is very readable.' - Ms Nia Love, Swansea Institute of Higher Education

• The Nature of Survey DataThe Measurement of VariablesError in MeasurementThe Data MatrixStatistical Procedures for Analysing the Data MatrixTables and Charts for Categorical VariablesTables and Charts for Metric VariablesData Reduction for Categorical VariablesData Reduction for Metric VariablesStatistical Inference for Categorical VariablesStatistical Inference for Metric VariablesTesting Hypotheses and Explaining RelationshipsStrategies for Analysing a Data MatrixAnalysing Qualitative Data.

RAY KENT is Senior Lecturer in Marketing at University of Stirling. He has previously published textbooks on marketing and social research.

'I would certainly adopt this book as a primer for some social science research methods courses at undergraduate level and at masters level. The layout is good and I enjoyed reading it, especially the earlier sections.' - Dr Stephen Gorard, Cardiff University 'This is a splendid book...the text bridges the gap between rather general research methods books and sophisticated and advanced texts on data analysis/survey design. This is an enormous strength.' - Malcolm Williams, University of Plymouth '...this is a very comprehensive and well-written text which fulfils its stated objective of providing an introductory guide to statistical analysis.' - Dr Angus Laing, Aberdeen University 'A good well written text that is very readable.' - Ms Nia Love, Swansea Institute of Higher Education

• The Nature of Survey DataThe Measurement of VariablesError in MeasurementThe Data MatrixStatistical Procedures for Analysing the Data MatrixTables and Charts for Categorical VariablesTables and Charts for Metric VariablesData Reduction for Categorical VariablesData Reduction for Metric VariablesStatistical Inference for Categorical VariablesStatistical Inference for Metric VariablesTesting Hypotheses and Explaining RelationshipsStrategies for Analysing a Data MatrixAnalysing Qualitative Data.

RAY KENT is Senior Lecturer in Marketing at University of Stirling. He has previously published textbooks on marketing and social research.

'I would certainly adopt this book as a primer for some social science research methods courses at undergraduate level and at masters level. The layout is good and I enjoyed reading it, especially the earlier sections.' - Dr Stephen Gorard, Cardiff University 'This is a splendid book...the text bridges the gap between rather general research methods books and sophisticated and advanced texts on data analysis/survey design. This is an enormous strength.' - Malcolm Williams, University of Plymouth '...this is a very comprehensive and well-written text which fulfils its stated objective of providing an introductory guide to statistical analysis.' - Dr Angus Laing, Aberdeen University 'A good well written text that is very readable.' - Ms Nia Love, Swansea Institute of Higher Education

• The Nature of Survey DataThe Measurement of VariablesError in MeasurementThe Data MatrixStatistical Procedures for Analysing the Data MatrixTables and Charts for Categorical VariablesTables and Charts for Metric VariablesData Reduction for Categorical VariablesData Reduction for Metric VariablesStatistical Inference for Categorical VariablesStatistical Inference for Metric VariablesTesting Hypotheses and Explaining RelationshipsStrategies for Analysing a Data MatrixAnalysing Qualitative Data.